During the training phase, considering the training set (train_loader), the batch size is 128 images. But during the validation step, considering the validation set (val_loader), each batch represents a task and since we have a total of n_way (n_shot + n_query) images in each batch, then the batch size here is 5(5+10) = 75 images. And we have a total of 500 tasks (batches) related to this validation step.
As for this test set (test_loader), there are 1,000 tasks (batches) with 75 images each.
Problem To know precisely the size of the batches in the Classical Training notebook.
How can we help This is just to be sure. In the Classical Training notebook we have:
During the training phase, considering the training set (
train_loader
), the batch size is 128 images. But during the validation step, considering the validation set (val_loader
), each batch represents a task and since we have a total of n_way (n_shot + n_query) images in each batch, then the batch size here is 5(5+10) = 75 images. And we have a total of 500 tasks (batches) related to this validation step.As for this test set (
test_loader
), there are 1,000 tasks (batches) with 75 images each.Right?
Thank you.